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Title: Generalized Logistic Model

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Type of Tool SAS Macro
SAS Utility Macro Tool/Utility
Title Generalized Logistic Model
Programmer/Email Tzu-Chun Lin, Chin-Shang Li
Contributing Site Davis
Description The generalized logistic model is applied to study the association between an categorical outcome having more than two levels and predictor variable(s). This macro invokes LOGISTIC procedure in SAS with link 'glogit'.
Example Example code
Classification Graph Type

References

Datasets Other
Data

Software Program SAS
Software SAS V9.2
Macro Parameters DSName: name of SAS data set

Dir: directory the macro saved.

Outcome: name of outcome variable with reference levels, ex: outcome(ref='Minimal'). This variable is assumed to be a categorical variable with more than two levels and the model predicts the linear relationship between outcome and a set of independent predictors. The reference level should correspond to format value if format is specified.

Freq: a variable that contains the frequency of occurrence of each observation.

PredictNum: list of numeric predictor variables.

PredictClass: qualitative variables with reference levels, ex: sex(ref='female'). The reference levels should correspond to format values if formats are specified.

Format: formats of the variables. The first is the format of the outcome variable and the rest are with the same order in PredictClass?. If no format defined for the corresponding qualitattive variable, a dot (.) must be input as a place holder.

OutFormat: HTML or RTF, Format of output file

OutFileName: output file name
R-Code - Attachment

R-Code

SAS-Code - Attachment Davis_Glogit_macro.sas
SAS-Code

Stata-Code - Attachment

Stata-Code

Other Code - Attachment

Other Code

Called Data Manipulation

Called Tool/Utility

Called Checking Macro

Called Other

Creation-Date September 16, 2011
Revision-Date

Example Code SAS Example Code
Example Output SAS Example Output
SAS Examples

SAS_Example_Code Davis_Glogit_example.docx
SAS_Example_Output Davis_Glogit_example.docx
R Examples

R_Example_Code

R_Example_Output

Stats Examples

Special Features

Special Features Attached

Special Features Text

Notes1-Legend Section with calls to needed macros
Notes1

Notes2-Legend Macro call with fully specified parameters
Notes2

Notes3-Legend Section with definitions of global macro parameters
Notes3

Notes4-Legend Section with definitions of local macro variables
Notes4

See Also

Checklists

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Topic revision: r4 - 06 Apr 2012 - 15:31:24 - MaryBanach
 

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